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Binding threshold units with artificial oscillatory neurons

Binding threshold units with artificial oscillatory neurons

6 May 2025
V. Fanaskov
Ivan Oseledets
ArXiv (abs)PDFHTML

Papers citing "Binding threshold units with artificial oscillatory neurons"

15 / 15 papers shown
Title
Memorization to Generalization: Emergence of Diffusion Models from Associative Memory
Memorization to Generalization: Emergence of Diffusion Models from Associative Memory
Bao Pham
G. Raya
Matteo Negri
Mohammed J Zaki
L. Ambrogioni
Dmitry Krotov
29
9
0
27 May 2025
Artificial Kuramoto Oscillatory Neurons
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato
Sindy Löwe
Andreas Geiger
Max Welling
AI4CE
186
10
0
17 Oct 2024
Image segmentation with traveling waves in an exactly solvable recurrent
  neural network
Image segmentation with traveling waves in an exactly solvable recurrent neural network
L. Liboni
Roberto C. Budzinski
Alexandra N. Busch
Sindy Löwe
Thomas Anderson Keller
Max Welling
L. Muller
51
11
0
28 Nov 2023
In search of dispersed memories: Generative diffusion models are
  associative memory networks
In search of dispersed memories: Generative diffusion models are associative memory networks
Luca Ambrogioni
DiffM
56
27
0
29 Sep 2023
Energy Transformer
Energy Transformer
Benjamin Hoover
Yuchen Liang
Bao Pham
Yikang Shen
Hendrik Strobelt
Duen Horng Chau
Mohammed J Zaki
Dmitry Krotov
ViT
81
49
0
14 Feb 2023
Symbolic Discovery of Optimization Algorithms
Symbolic Discovery of Optimization Algorithms
Xiangning Chen
Chen Liang
Da Huang
Esteban Real
Kaiyuan Wang
...
Xuanyi Dong
Thang Luong
Cho-Jui Hsieh
Yifeng Lu
Quoc V. Le
161
377
0
13 Feb 2023
Associative Memories via Predictive Coding
Associative Memories via Predictive Coding
Tommaso Salvatori
Yuhang Song
Yujian Hong
Simon Frieder
Lei Sha
Zhenghua Xu
Rafal Bogacz
Thomas Lukasiewicz
88
66
0
16 Sep 2021
Hierarchical Associative Memory
Hierarchical Associative Memory
Dmitry Krotov
BDL
150
34
0
14 Jul 2021
Large Associative Memory Problem in Neurobiology and Machine Learning
Large Associative Memory Problem in Neurobiology and Machine Learning
Dmitry Krotov
J. Hopfield
62
142
0
16 Aug 2020
Modern Hopfield Networks and Attention for Immune Repertoire
  Classification
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich
Bernhard Schafl
Hubert Ramsauer
Milena Pavlović
Lukas Gruber
...
Johannes Brandstetter
G. K. Sandve
Victor Greiff
Sepp Hochreiter
Günter Klambauer
239
118
0
16 Jul 2020
Hopfield Networks is All You Need
Hopfield Networks is All You Need
Hubert Ramsauer
Bernhard Schafl
Johannes Lehner
Philipp Seidl
Michael Widrich
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Johannes Brandstetter
Sepp Hochreiter
128
437
0
16 Jul 2020
Convolutional Neural Networks as a Model of the Visual System: Past,
  Present, and Future
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
MedIm
104
437
0
20 Jan 2020
Exploring Weight Symmetry in Deep Neural Networks
Exploring Weight Symmetry in Deep Neural Networks
S. Hu
Sergey Zagoruyko
N. Komodakis
49
33
0
28 Dec 2018
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
270
6,791
0
03 Sep 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
250
16,405
0
30 Apr 2014
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